Miłosz Kadziński

4.1k total citations · 1 hit paper
97 papers, 2.9k citations indexed

About

Miłosz Kadziński is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Miłosz Kadziński has authored 97 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Management Science and Operations Research, 38 papers in Artificial Intelligence and 36 papers in Computational Theory and Mathematics. Recurrent topics in Miłosz Kadziński's work include Multi-Criteria Decision Making (59 papers), Rough Sets and Fuzzy Logic (19 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Miłosz Kadziński is often cited by papers focused on Multi-Criteria Decision Making (59 papers), Rough Sets and Fuzzy Logic (19 papers) and Advanced Multi-Objective Optimization Algorithms (17 papers). Miłosz Kadziński collaborates with scholars based in Poland, Italy and United Kingdom. Miłosz Kadziński's co-authors include Roman Słowiński, Salvatore Greco, Tommi Tervonen, Kannan Govindan, Marco Cinelli, R. Sivakumar, Salvatore Corrente, Michael A. Gonzalez, Xiuwu Liao and Vincent Mousseau and has published in prestigious journals such as Journal of Cleaner Production, European Journal of Operational Research and Expert Systems with Applications.

In The Last Decade

Miłosz Kadziński

93 papers receiving 2.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy

2020 206 citations Marco Cinelli, Miłosz Kadziński et al. Omega profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Miłosz Kadziński Poland	33	1.8k	832	695	389	386	97	2.9k
Vincent Mousseau France	25	1.9k 1.1×	853 1.0×	789 1.1×	380 1.0×	388 1.0×	92	3.0k
Diyar Akay Türkiye	18	2.0k 1.1×	575 0.7×	361 0.5×	522 1.3×	392 1.0×	53	2.8k
Denis Bouyssou France	25	1.6k 0.9×	620 0.7×	492 0.7×	269 0.7×	177 0.5×	91	2.8k
Xunjie Gou China	33	3.2k 1.8×	1.1k 1.3×	1.2k 1.7×	863 2.2×	540 1.4×	89	4.3k
Fatih Emre Boran Türkiye	17	1.9k 1.0×	556 0.7×	390 0.6×	588 1.5×	422 1.1×	43	2.5k
Yanbing Ju China	35	1.9k 1.0×	431 0.5×	417 0.6×	608 1.6×	312 0.8×	127	3.2k
Fanyong Meng China	34	3.0k 1.7×	1.0k 1.2×	858 1.2×	1.2k 3.0×	868 2.2×	176	3.5k
Alexis Tsoukiàs France	24	1.5k 0.8×	858 1.0×	485 0.7×	285 0.7×	108 0.3×	97	3.5k
Jian Chen China	38	1.8k 1.0×	937 1.1×	397 0.6×	630 1.6×	528 1.4×	181	5.2k
Anna M. Gil‐Lafuente Spain	20	1.6k 0.9×	372 0.4×	329 0.5×	731 1.9×	694 1.8×	105	2.7k

Countries citing papers authored by Miłosz Kadziński

Since Specialization

Citations

This map shows the geographic impact of Miłosz Kadziński's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Miłosz Kadziński with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Miłosz Kadziński more than expected).

Fields of papers citing papers by Miłosz Kadziński

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miłosz Kadziński. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Miłosz Kadziński. The network helps show where Miłosz Kadziński may publish in the future.

Co-authorship network of co-authors of Miłosz Kadziński

This figure shows the co-authorship network connecting the top 25 collaborators of Miłosz Kadziński. A scholar is included among the top collaborators of Miłosz Kadziński based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Miłosz Kadziński. Miłosz Kadziński is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Liu, Jiapeng, et al.. (2025). A Probabilistic preference learning approach for multiple criteria ranking in dynamic decision context. European Journal of Operational Research. 330(2). 558–574.

Liu, Jiapeng, et al.. (2025). A Bayesian network approach for dynamic behavior analysis: Real-time intention recognition. Information Fusion. 118. 102873–102873. 2 indexed citations

Liu, Jiapeng, et al.. (2024). A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences. Omega. 128. 103113–103113. 3 indexed citations

Kadziński, Miłosz, et al.. (2024). Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports. Computers & Industrial Engineering. 190. 110065–110065. 2 indexed citations

Kadziński, Miłosz, et al.. (2024). Data-driven preference learning methods for sorting problems with multiple temporal criteria. European Journal of Operational Research. 323(3). 918–937. 4 indexed citations

Kadziński, Miłosz, et al.. (2024). Deep dive into RNA: a systematic literature review on RNA structure prediction using machine learning methods. Artificial Intelligence Review. 57(9). 3 indexed citations

Kadziński, Miłosz, et al.. (2024). Beyond the Arbitrariness of Drug-Likeness Rules: Rough Set Theory and Decision Rules in the Service of Drug Design. Applied Sciences. 14(21). 9966–9966. 6 indexed citations

Kadziński, Miłosz, et al.. (2024). Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives. Proceedings of the Genetic and Evolutionary Computation Conference Companion. 375–378. 1 indexed citations

Kadziński, Miłosz, et al.. (2024). From investigation of expressiveness and robustness to a comprehensive value-based framework for multiple criteria sorting problems. Omega. 131. 103203–103203. 2 indexed citations

10.

Liu, Jiapeng, et al.. (2023). Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences. European Journal of Operational Research. 311(2). 596–616. 14 indexed citations

11.

Kadziński, Miłosz, et al.. (2023). Robust Additive Value-Based Efficiency Analysis with a Hierarchical Structure of Inputs and Outputs. Applied Sciences. 13(11). 6406–6406. 2 indexed citations

12.

Kadziński, Miłosz, et al.. (2021). Experimental comparison of results provided by ranking methods in Data Envelopment Analysis. Expert Systems with Applications. 173. 114739–114739. 17 indexed citations

13.

Kadziński, Miłosz, et al.. (2021). Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities. Proceedings of the Genetic and Evolutionary Computation Conference. 476–484. 1 indexed citations

14.

Kadziński, Miłosz, et al.. (2020). Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization. Information Sciences. 549. 178–199. 17 indexed citations

15.

Kadziński, Miłosz, et al.. (2019). Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials. International Journal of Approximate Reasoning. 117. 60–80. 32 indexed citations

16.

Liu, Jiapeng, Xiuwu Liao, Miłosz Kadziński, & Roman Słowiński. (2019). Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria. European Journal of Operational Research. 276(3). 1071–1089. 53 indexed citations

17.

Kadziński, Miłosz, Roman Słowiński, & Salvatore Greco. (2015). Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules. Knowledge-Based Systems. 89. 569–583. 22 indexed citations

18.

Wilk, Szymon, Wojtek Michalowski, Roman Słowiński, et al.. (2014). Learning the Preferences of Physicians for the Organization of Result Lists of Medical Evidence Articles. Methods of Information in Medicine. 53(5). 344–356. 6 indexed citations

19.

Kadziński, Miłosz & Roman Słowiński. (2012). INTERACTIVE ROBUST CONE CONTRACTION METHOD FOR MULTIPLE OBJECTIVE OPTIMIZATION PROBLEMS. International Journal of Information Technology & Decision Making. 11(2). 327–357. 13 indexed citations

20.

Kadziński, Miłosz, Salvatore Greco, & Roman Słowiński. (2011). Selection of a Representative Value Function for Robust Ordinal Regression in Group Decision Making. Group Decision and Negotiation. 22(3). 429–462. 41 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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